SKZ optimizes processes and improves product quality with unprecedented machine data insights

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    Unmatched product quality through machine learning

    Shopfloor data available in real-time
    Significant decrease in rejects
    Improved product quality

    INDUSTRY

    Plastic solutions

    EMPLOYEES

    430+

    PRODUCTION SITES

    6

    Challenges

    Lack of data lowers production quality and increases waste

    • Narrow temperature window for optimum product quality
    • Inaccurate measurement due to lack of sensors in the centre of the melt
    • High reject rate and lower production quality

    Solution

    Machine learning model provides data insights

    • Integration and centralization of data from various sources and sensors using Cybus Connectware
    • Machine learning model based on the data obtained
    • Deriving recommendations via a visual dashboard

    CYBUS CONNECTWARE

    Scalable data architecture for digital manufacturing

    • End-to-end data transparency and OT-IT integration – for every step towards smart factory transformation
    • Scalable data architecture for digital projects without limits
    • All IIoT projects integrated by a single software – independent of interfaces and manufacturers

    BENEFITS

    A better understanding of the production process is the key to first-class product quality

    Shopfloor data available

    The machine learning model and real-time availability of shop floor data is a significant leap in optimizing plastic production processes.

    Decrease in rejects

    Obtaining and processing crucial machine data that was previously inaccessible leads to more efficient and higher quality production with significantly less rejects.

    Improved product quality

    This advancement optimizes products and solves market challenges, advancing intelligent manufacturing in the plastics industry.

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